Generic selectors
Exact matches only
Search in title
Search in content
Post Type Selectors
podcast
Filter by Categories
ArcGIS Pro
GDAL
GeoJson
Map
Python
QGIS
Uncategorized

Merging Raster Layers in QGIS

How To Merge Raster Layers in QGIS to Create a Raster Mosaic

If you are reading this … you should listen to our podcast!

Introduction

In the world of Geographic Information Systems (GIS), rasters play a pivotal role in representing, analyzing, and visualizing spatial data. Often, professionals and enthusiasts alike encounter scenarios where multiple raster tiles cover their area of interest. While these individual tiles offer valuable insights, there are instances where a unified, seamless view becomes imperative. This is especially true for specific analyses that demand continuity and cohesion. Enter the process of merging raster layers, a technique that transforms multiple tiles into a single, comprehensive raster. This blog post delves into the importance of this process and provides a step-by-step guide on achieving this in QGIS.

Understanding Rasters in GIS

Before diving into the merging process, it’s essential to grasp what rasters are and why they hold such significance in GIS.

What are Rasters?


Rasters are a type of digital image represented by pixels, with each pixel holding a value corresponding to information like elevation, temperature, or land cover. Imagine a photograph where each tiny square (pixel) represents a specific piece of data about the earth’s surface.

Why are Rasters Important in GIS?


Rasters are crucial for several reasons:

  • Detail and Precision: They can capture intricate details of a landscape, making them ideal for high-resolution spatial analyses.
  • Versatility: Rasters can represent various data types, from satellite imagery to digital elevation models.
  • Analytical Power: Their grid-like structure allows for advanced spatial analyses, like calculating slope or aspect.

Challenges with Multiple Raster Tiles:


While individual raster tiles are informative, they come with challenges:

  • Discontinuity: Multiple tiles can lead to gaps or overlaps, disrupting the flow of data.
  • Inconsistency: Different tiles might come from varied sources, leading to potential discrepancies in data quality or type.
  • Complexity: Managing multiple tiles can be cumbersome, especially when performing analyses that span across tiles.

Steps to Merge Rasters in QGIS

Merging rasters in QGIS is a straightforward process, but it’s essential to follow the steps meticulously to ensure accurate results. Here’s a step-by-step guide:

1. Loading Rasters into QGIS:

  • Initial Setup: Begin by launching QGIS and creating a new project.
  • Importing Rasters: Navigate to the ‘Layer’ menu, select ‘Add Layer’, and then choose ‘Add Raster Layer’. Browse to the location of your raster files and add them to the project.
  • Coordinate Reference System (CRS) Check: Ensure that each raster you’re importing has the same CRS. If they differ, you might need to reproject one or more rasters to a common CRS.

2. Accessing the Merge Tool:

  • Via Search: On the QGIS interface, there’s a search bar (usually at the bottom left). Type “merge” and look for the merge raster tool from the results.
  • Menu Navigation: Alternatively, you can find the merge tool by going to the ‘Raster’ menu, selecting ‘Miscellaneous’, and then choosing ‘Merge’.

3. Selecting Rasters for Merging:

  • Input Layers: Once the merge tool is open, click on the ‘Input layers’ option. A new window will pop up, allowing you to select the rasters you wish to merge.
  • Layer Order: The order in which you select the rasters can affect the final merged output, especially if there are overlapping areas. Ensure the layers are in the desired order.

4. Setting the Correct Data Type:

  • Understanding Data Types: Rasters can store data as integers (whole numbers) or floats (numbers with decimals). It’s crucial to choose the correct data type for the merged output.
  • Selection: If your rasters represent values like elevation or temperature with decimal points, choose a float data type. If they represent categorical data like land use types with whole numbers, select an integer data type.

5. Saving the Merged Raster:

  • Temporary vs. Permanent: QGIS allows you to save the merged output as a temporary layer or a permanent file. If you’re testing or experimenting, a temporary layer might suffice. However, for long-term use or larger analyses, it’s advisable to save the merged raster as a permanent file.
  • File Naming and Location: If saving permanently, specify a name for the merged raster and choose a location on your computer or network.

Advanced Tips

While the basic merging process is simple, there are advanced features and tips that can enhance the merging experience and output:

Python Code Generation:
During the merge process, QGIS generates Python code that represents the steps taken. This code can be invaluable for:

  • Batch Processing: If you have multiple sets of rasters to merge, this code can be adapted and run multiple times, automating the merging process.
  • Documentation: Keeping a record of this code can serve as documentation, detailing the exact steps and parameters used in the merge.

Data Type Depth:
The numbers (like 16 or 32) associated with data types represent the bit-depth. A higher bit-depth can store a broader range of values but might increase the file size. Choose based on the range and precision of your data.

Post-Merge Inspection:
Always inspect the merged raster thoroughly:

  • Seam Check: Zoom into areas where the original rasters met. Ensure there are no visible seams or data discontinuities.
  • Data Integrity: Use the identify tool in QGIS to click on various parts of the merged raster. Check if the values make sense and match expectations.

Frequently asked questions (FAQs) about merging raster layers in QGIS to create a raster mosaic:

  1. What is a raster mosaic?
    A raster mosaic refers to a single raster dataset created by merging multiple raster images together, ensuring they seamlessly fit to represent a continuous spatial area.
  2. Why would I need to merge raster layers?
    Merging is essential when you have multiple raster tiles covering a study area and need a unified, seamless raster for analysis or visualization.
  3. Do the rasters need to be in the same coordinate reference system (CRS) before merging?
    Yes, it’s crucial that all rasters have the same CRS before merging to ensure accurate and seamless results.
  4. What’s the difference between integer and float data types in raster merging?
    Integer data types store whole numbers, while float data types can store numbers with decimals. The choice depends on the nature of your raster data.
  5. Can I merge rasters with different resolutions?
    While it’s technically possible, merging rasters of different resolutions can lead to data inconsistencies. It’s recommended to resample rasters to a common resolution before merging.
  6. What is the GDAL merge tool mentioned in QGIS?
    GDAL (Geospatial Data Abstraction Library) is an open-source library for reading and writing raster and vector geospatial data formats. The merge tool from GDAL is integrated into QGIS to facilitate the raster merging process.
  7. Can I automate the raster merging process for multiple sets?
    Yes, QGIS generates Python code during the merge process, which can be adapted and used for batch processing to automate merges.
  8. Why am I seeing seams or lines after merging rasters?
    Visible seams might indicate discrepancies in data, misalignment, or differences in resolution or data type. It’s essential to inspect and address these issues before merging.
  9. Is there a limit to how many rasters I can merge at once in QGIS?
    While there’s no strict limit, performance can be affected when merging a large number of extensive rasters. Ensure your system has adequate resources, and consider merging in smaller batches if necessary.
About the Author
I'm Daniel O'Donohue, the voice and creator behind The MapScaping Podcast ( A podcast for the geospatial community ). With a professional background as a geospatial specialist, I've spent years harnessing the power of spatial to unravel the complexities of our world, one layer at a time.

Leave a Reply